Review on Emerging Therapeutic Strategies for Managing Cardiovascular Disease.
Minal NarkhedeAvinash PardeshiRahul BhagatGajanan DharmePublished in: Current cardiology reviews (2024)
Cardiovascular disease (CVD) remains a foremost global health concern, necessitating ongoing exploration of innovative therapeutic strategies. This review surveys the latest developments in cardiovascular therapeutics, offering a comprehensive overview of emerging approaches poised to transform disease management. The examination begins by elucidating the current epidemiological landscape of CVD and the economic challenges it poses to healthcare systems. It proceeds to scrutinize the limitations of traditional therapies, emphasizing the need for progressive interventions. The core focus is on novel pharmacological interventions, including advancements in drug development, targeted therapies, and repurposing existing medications. The burgeoning field of gene therapy and its potential in addressing genetic predispositions to cardiovascular disorders are explored, alongside the integration of artificial intelligence and machine learning in risk assessment and treatment optimization. Non-pharmacological interventions take center stage, with an exploration of digital health technologies, wearable devices, and telemedicine as transformative tools in CVD management. Regenerative medicine and stem cell therapies, offering promises of tissue repair and functional recovery, are investigated for their potential impact on cardiac health. This review also delves into the interplay of lifestyle modifications, diet, exercise, and behavioral changes, emphasizing their pivotal role in cardiovascular health and disease prevention. As precision medicine gains prominence, this synthesis of emerging therapeutic modalities aims to guide clinicians and researchers in navigating the dynamic landscape of cardiovascular disease management, fostering a collective effort to alleviate the global burden of CVD and promote a healthier future.
Keyphrases
- cardiovascular disease
- artificial intelligence
- healthcare
- physical activity
- machine learning
- public health
- global health
- stem cells
- risk assessment
- gene therapy
- big data
- human health
- type diabetes
- health information
- deep learning
- weight loss
- multiple sclerosis
- metabolic syndrome
- heart failure
- left ventricular
- gene expression
- small molecule
- genome wide
- single cell
- cardiovascular events
- palliative care
- heavy metals
- heart rate
- social media
- atrial fibrillation
- high intensity
- climate change
- cross sectional
- current status
- atomic force microscopy